Leboncoin Scraper
Leboncoin Scraper
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Extract leboncoin listings into a clean table for analysis. Capture title, price, location, date, and key item details from a search or listing URL.
Chrome Store Rating
PRODUCT HUNT#1 Product of the Week
Scrape Leboncoin Listings in Two ClicksUse the Thunderbit Chrome extension to scrape leboncoin pages fast and turn listings into structured rows. Automate extraction across pages and keep your data ready to export.
Install fromChrome Web Store
Scrape Leboncoin Listings in Two Clicks
Collect leboncoin listing details without manual copy-paste. Thunderbit scrapes websites and follows subpages to extract structured fields like title, URL, price, location, and attributes, then can summarize, categorize, or format the results into a clean table.
Scrape paginated results, PDFs, docs, and images when needed, and keep datasets consistent even as page layouts change. Export your data to Google Sheets, Airtable, or Notion for tracking, analysis, and sharing.
How to Scrape Leboncoin Listings Using Thunderbit
STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. Once installed, log in or create a free account to get started.
STEP 2Open ExtensionOpen Chrome and go to the Leboncoin listing you want to extract. Click the Thunderbit extension icon to open Thunderbit, then select the Leboncoin Scraper. In the "Enter Leboncoin Listing URL" tab, paste the product or listing link into the "url" field (for example, https://www.leboncoin.fr/...). Confirm the table columns you want to capture, such as "Titre de l'annonce", "Prix (EUR)", "Ville", and "Date de publication".
STEP 3Click the Scrape Leboncoin listing ButtonClick the "Scrape Leboncoin listing" button to start extraction. Thunderbit will collect the listing details and return them in a structured table, including fields like "URL de l'annonce", "Marque", "Modèle", "Capacité de stockage (Go)", and "État". After the table loads, export the results to Excel, Google Sheets, Airtable, or Notion, or download the data as CSV or JSON.
Learn how to extract Leboncoin listing details into a structured table
Extract listing fields from a Leboncoin URL
Leboncoin Scraper turns a single Leboncoin product or listing URL into a clean table of key details, including Titre de l'annonce, Prix (EUR), Ville, and Date de publication. It’s built for anyone who needs consistent data from classifieds pages without copying and pasting. Use it to capture the essentials from listings you’re reviewing, tracking, or comparing across multiple items.
Standardize product attributes for analysis
Beyond basic listing info, the scraper pulls structured attributes such as Marque, Modèle, Capacité de stockage (Go), and État. This helps you normalize messy marketplace data into comparable columns, which is useful when you’re evaluating similar products across many sellers. By keeping fields consistent, teams can filter, sort, and spot outliers like unusually low prices or specific configurations.
Build pricing and availability trackers
Use the output table to monitor secondhand market pricing for specific models and storage sizes, grouped by city and posting date. Ecommerce operators, resellers, and bargain hunters can collect multiple listing URLs, scrape them into a dataset, and review trends over time. The structured format makes it easier to compare listings side by side and prioritize which sellers to contact or which deals to review first.
Export scraped data to your workflow tools
After scraping, export the table to Excel, Google Sheets, Airtable, or Notion, or download as CSV or JSON for further processing. This is useful for sales ops, marketplace analysts, and local teams who want a shared view of listings with consistent columns. Once exported, you can add your own notes, create filters by price or location, and keep a repeatable process for ongoing research.
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What users say about Thunderbit
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Frequently Asked Questions
Extract Data using AI
Easily transfer data to Google Sheets, Airtable, or Notion
Chrome Store Rating
PRODUCT HUNT#1 Product of the Week